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DOE OSTI · 3008817

Track reconstruction as a service for collider physics

Zhao, Haoran [Univ. of Washington, Seattle, WA (United States)] (ORCID:000000026638847X)·Chou, Yuan-Tang [Univ. of Washington, Seattle, WA (United States)] (ORCID:0000000222045731)·Yao, Yao [Purdue Univ., West Lafayette, IN (United States)] (ORCID:0000000259904245)·Ju, Xiangyang [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] (ORCID:0000000297451638)·Feng, Yongbin [Texas Tech Univ., Lubbock, TX (United States)] (ORCID:000000032812338X)·McCormack, William Patrick [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)] (ORCID:0000000207681959)·Cochran-Branson, Miles [Univ. of Washington, Seattle, WA (United States)] (ORCID:0000000310201108)·Schulte, Jan-Frederik [Purdue Univ., West Lafayette, IN (United States)] (ORCID:000000034421680X)·Liu, Miaoyuan [Purdue Univ., West Lafayette, IN (United States)] (ORCID:000000019012395X)·Duarte, Javier [Univ. of California, San Diego, CA (United States)] (ORCID:0000000250767096)·Harris, Philip [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)] (ORCID:0000000181893741)·Hsu, Shih-Chieh [Univ. of Washington, Seattle, WA (United States)] (ORCID:0000000162148500)·Pedro, Kevin [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (ORCID:0000000322609151)·Tran, Nhan [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (ORCID:0000000160293077)
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Abstract

Optimizing charged-particle track reconstruction algorithms is crucial for efficient event reconstruction in Large Hadron Collider (LHC) experiments due to their significant computational demands. Existing track reconstruction algorithms have been adapted to run on massively parallel coprocessors, such as graphics processing units (GPUs), to reduce processing time. Nevertheless, challenges remain in fully harnessing the computational capacity of coprocessors in a scalable and non-disruptive manner. This paper proposes an inference-as-a-service approach for particle tracking in high energy physics experiments. To evaluate the efficacy of this approach, two distinct tracking algorithms are tested: Patatrack, a rule-based algorithm, and Exa.TrkX, a machine learning-based algorithm. The as-a-service implementations show enhanced GPU utilization and can process requests from multiple CPU cores concurrently without increasing per-request latency. The impact of data transfer is minimal and insignificant compared to running on local coprocessors. This approach greatly improves the computational efficiency of charged particle tracking, providing a solution to the computing challenges anticipated in the High-Luminosity LHC era.

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Zhao, Haoran [Univ. of Washington, Seattle, WA (United States)] (ORCID:000000026638847X), Chou, Yuan-Tang [Univ. of Washington, Seattle, WA (United States)] (ORCID:0000000222045731), Yao, Yao [Purdue Univ., West Lafayette, IN (United States)] (ORCID:0000000259904245), Ju, Xiangyang [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] (ORCID:0000000297451638), Feng, Yongbin [Texas Tech Univ., Lubbock, TX (United States)] (ORCID:000000032812338X), McCormack, William Patrick [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)] (ORCID:0000000207681959), Cochran-Branson, Miles [Univ. of Washington, Seattle, WA (United States)] (ORCID:0000000310201108), Schulte, Jan-Frederik [Purdue Univ., West Lafayette, IN (United States)] (ORCID:000000034421680X), Liu, Miaoyuan [Purdue Univ., West Lafayette, IN (United States)] (ORCID:000000019012395X), Duarte, Javier [Univ. of California, San Diego, CA (United States)] (ORCID:0000000250767096), Harris, Philip [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)] (ORCID:0000000181893741), Hsu, Shih-Chieh [Univ. of Washington, Seattle, WA (United States)] (ORCID:0000000162148500), Pedro, Kevin [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (ORCID:0000000322609151), Tran, Nhan [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (ORCID:0000000160293077). 2025-06-06. Track reconstruction as a service for collider physics. https://doi.org/10.1088/1748-0221%2F20%2F06%2Fp06002

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